support FULL graph mode for GQA (#3970)

### What this PR does / why we need it?
The current library only supports the FullDecodeOnly graph mode, which
enables full graph execution during the decode. This PR extends support
to allow full graph execution in both the prefill and decode, referred
to as FULL graph mode.

- vLLM version: v0.11.0
- vLLM main:
2918c1b49c

Signed-off-by: wangxiaoxin-sherie <wangxiaoxin7@huawei.com>
Co-authored-by: wangxiaoxin-sherie <wangxiaoxin7@huawei.com>

vllm_ascend/torchair/torchair_model_runner.py

@@ -21,6 +21,7 @@ import math
 import types
 from typing import Any, Optional
 
+import numpy as np
 import torch
 import torch.distributed as dist
 import torch.nn as nn
@@ -31,7 +32,6 @@ from vllm.distributed.parallel_state import get_dp_group
 from vllm.forward_context import get_forward_context
 from vllm.logger import logger
 
-import numpy as np
 import vllm_ascend.envs as envs_ascend
 from vllm_ascend.ascend_config import get_ascend_config
 from vllm_ascend.platform import NPUPlatform